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Domain 1
Engage with AI
Recognise, understand, and critically evaluate AI in everyday life and ICT work.
E1
Recognise AI in Daily Life & ICT
Foundation
Identify where AI is present — from recommendation engines and voice assistants to network monitoring tools and automated deployments.
▸ I can identify at least 10 AI-powered tools I interact with daily
▸ I can distinguish AI systems from traditional rule-based software
▸ I can recognise AI components in ICT infrastructure
E2
Understand How AI Works
Foundation
Grasp core concepts: machine learning, training data, models, neural networks, and how generative AI produces outputs.
▸ I can explain the difference between supervised, unsupervised, and reinforcement learning
▸ I can describe how an LLM generates text
▸ I can explain why AI outputs can vary and sometimes 'hallucinate'
E3
Critically Evaluate AI Outputs
Core
Assess AI-generated content for accuracy, bias, relevance, and completeness. Never blindly trust AI.
▸ I can fact-check AI-generated code, text, and data
▸ I can identify when an AI response is plausible but incorrect
▸ I can compare outputs from different AI tools to assess reliability
E4
Understand AI's Capabilities & Limitations
Core
Know what AI can and cannot do. Understand concepts like context windows, training cutoffs, and domain limitations.
▸ I can explain why AI isn't 'intelligent' the way humans are
▸ I can identify tasks where AI excels vs. where human judgment is essential
▸ I can recognise when an AI tool is not the right solution
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Domain 2
Create with AI
Use AI as a collaborative tool for ideation, problem-solving, and professional ICT tasks.
C1
Prompt Engineering
Core
Write effective, structured prompts using techniques like role-setting, few-shot examples, chain-of-thought, and iterative refinement.
▸ I can write a structured prompt with role, context, format, and constraints
▸ I can use few-shot examples to guide AI output quality
▸ I can iterate on prompts to progressively improve results
C2
AI-Assisted Professional Work
Core
Use AI tools effectively for real ICT tasks: documentation, scripting, debugging, research, and communication.
▸ I can use AI to draft and improve technical documentation
▸ I can use AI to help write, debug, and explain code
▸ I can use AI to research technical solutions
C3
Human-AI Collaboration
Core
Know when to delegate to AI and when to rely on your own skills. Maintain ownership of the final output.
▸ I can decide which parts of a task to delegate to AI vs. do myself
▸ I can review, verify, and adapt AI-generated work before submitting it
▸ I can document what AI contributed vs. what I contributed
C4
Creative & Innovative Use of AI
Advanced
Go beyond basic use — combine AI tools, chain workflows, and find novel applications in ICT contexts.
▸ I can combine multiple AI tools in a workflow
▸ I can identify opportunities to apply AI in my apprenticeship projects
▸ I can propose AI-enhanced solutions to workplace problems
🛡️
Domain 3
Manage AI
Make responsible decisions about when and how to use AI, including data privacy, security, and workplace policies.
M1
Data Privacy & Security
Core
Understand what data you can and cannot share with AI tools. Know the implications under GDPR and Swiss FADP.
▸ I can identify what constitutes sensitive data (personal, company, client)
▸ I can explain why I shouldn't paste confidential data into public AI tools
▸ I can choose appropriate AI tools based on data handling policies
M2
Responsible AI Use in the Workplace
Core
Follow company policies on AI use. Know when human oversight is required and when AI assistance is acceptable.
▸ I can follow my company's AI acceptable use policy
▸ I can determine when AI use is appropriate vs. when I need human expertise
▸ I can disclose when AI has been used in my work
M3
AI Tool Selection & Evaluation
Advanced
Compare AI tools based on quality, privacy, cost, and suitability for professional use.
▸ I can compare AI tools on criteria like accuracy, privacy, and cost
▸ I can evaluate whether a free AI tool is appropriate for professional use
▸ I can recommend AI tools to colleagues with clear reasoning
M4
Digital Wellbeing & AI Dependency
Foundation
Maintain healthy habits around AI use. Avoid over-reliance that could erode core skills.
▸ I can recognise when I'm becoming over-dependent on AI
▸ I can balance AI assistance with building my own foundational ICT skills
▸ I can identify the impact of AI tools on my focus and learning
⚖️
Domain 4
AI Ethics & Society
Understand the ethical, legal, and societal dimensions of AI in a Swiss and European context.
ET1
Bias, Fairness & Inclusion
Core
Understand how AI can reflect and amplify biases. Recognise the importance of diverse, representative training data.
▸ I can give examples of how bias enters AI systems through training data
▸ I can explain why AI fairness matters in contexts like hiring and lending
▸ I can evaluate an AI tool for potential bias in its outputs
ET2
EU AI Act & Swiss Regulation
Core
Understand the EU AI Act's risk-based classification and what it means for ICT professionals in Switzerland and Europe.
▸ I can classify AI applications into the EU AI Act's risk categories
▸ I can explain what 'high-risk AI' means and give Swiss/EU examples
▸ I can describe Switzerland's approach to AI governance
ET3
Transparency, Explainability & Trust
Advanced
Understand why AI decisions should be explainable and what transparency means for users and affected people.
▸ I can explain the 'black box' problem in AI
▸ I can argue why transparency matters for AI systems that affect people's lives
▸ I can identify when an AI system lacks sufficient explainability
ET4
Environmental & Societal Impact
Advanced
Consider the broader impacts of AI: energy consumption, job displacement, deepfakes, misinformation, and democratic processes.
▸ I can explain the environmental cost of training large AI models
▸ I can discuss how AI affects employment in the ICT sector
▸ I can identify AI-generated content and explain the risks
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Domain 5
Design & Build AI
Understand how AI systems are designed, trained, tested, and deployed — foundational for ICT professionals.
D1
Data Literacy for AI
Core
Understand the role of data in AI: collection, cleaning, labelling, and the impact of data quality on model performance.
▸ I can explain why 'garbage in, garbage out' applies to AI
▸ I can describe the steps of preparing data for machine learning
▸ I can identify problems in a dataset
D2
AI System Lifecycle
Advanced
Understand the stages of AI development: problem definition, data preparation, model training, testing, deployment, and monitoring.
▸ I can outline the lifecycle of an AI system from idea to production
▸ I can explain why AI models need ongoing monitoring after deployment
▸ I can describe the role of testing and validation
D3
Hands-On AI Experimentation
Advanced
Train simple models, experiment with AI tools, and build small AI-powered projects.
▸ I can train a simple image classifier using Teachable Machine
▸ I can experiment with model parameters and observe how results change
▸ I can build a small project that integrates an AI API or tool
D4
Human-Centred AI Design
Advanced
Consider user needs, accessibility, and ethical implications when designing AI-powered systems.
▸ I can identify user needs that an AI system should address
▸ I can evaluate whether an AI solution is accessible and inclusive
▸ I can propose safeguards for an AI system
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Domain 6
Future-Ready Mindset
Develop the attitudes and habits needed to keep learning as AI rapidly evolves.
F1
Adaptive Learning & Curiosity
Foundation
Stay current with AI developments. Build a habit of continuous learning as tools and capabilities change rapidly.
▸ I can identify reliable sources to stay updated on AI
▸ I can experiment with new AI tools and evaluate their usefulness
▸ I can adapt my workflows as AI capabilities evolve
F2
Career Navigation in an AI World
Core
Understand how AI is reshaping ICT careers. Identify skills that remain uniquely human.
▸ I can identify which ICT skills will become more vs. less valuable
▸ I can articulate what humans do better than AI in my field
▸ I can create a personal development plan that accounts for AI's impact
F3
Self-Efficacy & Confidence with AI
Foundation
Build confidence in using AI tools. Overcome anxiety about AI while maintaining healthy scepticism.
▸ I feel confident using AI tools in my professional work
▸ I can approach new AI technologies with curiosity rather than fear
▸ I can help others in my team understand and use AI effectively